Senior Researcher in the Department of Social Anthropology and Social Psychology of the Complutense University of Madrid, and Visiting Professor at Yachay Tech and University of Valle d'Aosta. Visiting professor at the University of California and Universidad Michoacana de San Nicolás de Hidalgo. Postdoctoral researcher at the San Diego State University, Charles III University of Madrid and the Autonomous University of Madrid, by Paulo Freire Innovative Technology Post-Doctoral Visiting Scholar, Alliance of 4 Universities, respectively. Invited Professor at the University of Bergamo, University of Aosta Valley, and University of Helsinki as a Professor in Summer School Course "Emotions and Interculturality". Research is focused on understanding why emotions have a strong relationship with language and how it is possible to express these emotions in online/offline spaces, and professional and innovative contexts and Artificial Intelligence. 131 international conferences and seminars, some of them as invited speaker, and published 89 papers, book chapters, and scientific reviews, in four languages on the topics of Social Psychology, Innovation, Emotions, and Communication Technology.
Abstract: Emotions have long been considered as a unique human trait, but recent advances in Artificial Intelligence (AI) have led to an increasing interest in the incorporation of emotional intelligence into machines. Natural Language Processing, computer vision and affective computing techniques, among others, are becoming involved in the detection and analysis of human emotions. The main aim would be to allow machines to properly recognize, interpret and respond to human emotions, enhancing their ability to interact with us in more meaningful ways, especially in multimodal and multimedia. Its potential applications encompass a wide range of disciplines, from Customer Relations Management services to Healthcare. However, there are also ethical concerns regarding privacy, discrimination and potential abuse or misuse that must be addressed. The objectives of this conference are based on understanding how emotions can be integrated into machines and how this integration can improve human-machine interactions. This conference tries to explore various techniques to detect and interpret human emotions, as well as the development of algorithms that allow machines to respond appropriately to these emotions. Also, this conference intends to help in the creation of future AIs that are more responsive, empathetic and intuitive in their interactions with humans, which will lead to better user experiences in fields such as healthcare, education and entertainment. In addition, ethical considerations around data privacy, bias leading to discrimination or transparency will be carefully considered, in order to ensure AI is developed and used responsibly and beneficially, following the international guidelines.